Optimizing the parameters of Sugeno based adaptive neuro fuzzy using artificial bee colony: A Case study on predicting the wind speed

Fatma Helmy Ismail, Mohamed Abd El Aziz, Aboul Ella Hassanien. Optimizing the parameters of Sugeno based adaptive neuro fuzzy using artificial bee colony: A Case study on predicting the wind speed. In Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, editors, Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016, Gdańsk, Poland, September 11-14, 2016. pages 645-651, 2016. [doi]

@inproceedings{IsmailAH16,
  title = {Optimizing the parameters of Sugeno based adaptive neuro fuzzy using artificial bee colony: A Case study on predicting the wind speed},
  author = {Fatma Helmy Ismail and Mohamed Abd El Aziz and Aboul Ella Hassanien},
  year = {2016},
  doi = {10.15439/2016F516},
  url = {http://dx.doi.org/10.15439/2016F516},
  researchr = {https://researchr.org/publication/IsmailAH16},
  cites = {0},
  citedby = {0},
  pages = {645-651},
  booktitle = {Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016, Gdańsk, Poland, September 11-14, 2016},
  editor = {Maria Ganzha and Leszek A. Maciaszek and Marcin Paprzycki},
  isbn = {978-83-60910-92-7},
}